Senior Computer Vision Engineer

Overview

• Lead the development of advanced computer vision algorithms for autonomous systems, focusing on real-time drone detection and classification.
• Architect machine learning models ensuring high accuracy and reliability under computational and power constraints.
• Collaborate with hardware engineers to integrate vision capabilities into embedded architectures seamlessly.
• Conduct rigorous testing across diverse scenarios to ensure robust system performance.
• Mentor junior engineers and contribute to advancing organizational machine learning capabilities.
• Support the transition from prototype to military-grade systems tailored to various platforms.
• Work in a dynamic environment requiring innovative problem-solving and collaboration.

Key Responsibilities & Duties

• Design and optimize computer vision algorithms for autonomous turret systems.
• Develop and deploy machine learning models for real-time applications.
• Integrate vision algorithms into embedded hardware systems.
• Validate system performance across various environmental conditions.
• Collaborate with cross-functional teams to ensure seamless integration.
• Mentor junior engineers and provide technical guidance.
• Contribute to the development of military-grade systems and variants.

Job Requirements

• Master’s degree or higher in Computer Science, Electrical Engineering, or related field.
• 6+ years of experience in machine-learning-driven computer vision systems.
• Proficiency in Python and C++ with experience in frameworks like PyTorch or TensorFlow.
• Experience deploying real-time and safety-critical computer vision solutions.
• Knowledge of embedded systems and hardware integration.
• Familiarity with multi-sensor systems such as cameras, LiDAR, and radar.
• Collaborative mindset with a passion for mentoring and problem-solving.